Tag: Applied

Building Generative AI-Powered Apps: A Hands-on Guide for Developers Front Cover

Building Generative AI-Powered Apps: A Hands-on Guide for Developers

  • Length: 157 pages
  • Publication Date: 2024-04-30
0
0 ratings
Probability and Statistical Inference, 10th Edition Front Cover

Probability and Statistical Inference, 10th Edition

  • Length: 560 pages
  • Publication Date: 2019-01-01
3.8
71 ratings
Solve It With Math: Recreational and Practical Problems With Fully Explained Solutions Front Cover

Solve It With Math: Recreational and Practical Problems With Fully Explained Solutions

  • Length: 174 pages
  • Publication Date: 2023-09-25
0
0 ratings
Mixture Models: Parametric, Semiparametric, and New Directions Front Cover

Mixture Models: Parametric, Semiparametric, and New Directions

  • Length: 379 pages
  • Publication Date: 2024-04-18
0
0 ratings
Mathematical Methods using Python: Applications in Physics and Engineering Front Cover

Mathematical Methods using Python: Applications in Physics and Engineering

  • Length: 488 pages
  • Publication Date: 2024-05-14
0
0 ratings
Basic English Grammar For Dummies – US Front Cover

Basic English Grammar For Dummies – US

  • Length: 384 pages
  • Publication Date: 2024-04-02
0
0 ratings
Research Software Engineering: A Guide to the Open Source Ecosystem Front Cover

Research Software Engineering: A Guide to the Open Source Ecosystem

  • Length: 182 pages
  • Publication Date: 2024-04-17
0
0 ratings
Introduction to Data Science: Data Analysis and Prediction Algorithms with R Front Cover

Introduction to Data Science: Data Analysis and Prediction Algorithms with R

  • Length: 713 pages
  • Publication Date: 2019-11-08
4.3
14 ratings
Modern Data Visualization with R Front Cover

Modern Data Visualization with R

  • Length: 259 pages
  • Publication Date: 2024-03-29
0
0 ratings
Linear Algebra for Earth Scientists Front Cover

Linear Algebra for Earth Scientists

  • Length: 302 pages
  • Publication Date: 2024-04-22
0
0 ratings
Python Machine Learning: Using Scikit Learn, TensorFlow, PyTorch, and Keras, an Introductory Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science Front Cover

Python Machine Learning: Using Scikit Learn, TensorFlow, PyTorch, and Keras, an Introductory Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science

  • Length: 119 pages
  • Publication Date: 2024-02-24
0
0 ratings
Spatial Statistics for Data Science: Theory and Practice with R Front Cover

Spatial Statistics for Data Science: Theory and Practice with R

  • Length: 280 pages
  • Publication Date: 2023-12-08
0
0 ratings